Surface modeling based on point cloud rendering using terrestrial LiDAR data

Konosuke Kataoka, Masafumi Nakagawa

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Point cloud data are acquired using 3D scanner, such as a terrestrial laser scanner and land-based mobile mapping systems, in a surveying, mapping, structure maintenance, and environment monitoring. The latest 3D scanners perform a rapid and massive data acquisition. However, the massive data require huge processing time in data sharing, visualization and 3D modeling. We propose a methodology to improve a performance in 3D surface modeling using point cloud data projected into a panoramic space. Thus, we have clarified that our approach can improve workability in 3D modeling. Additionally, we confirmed that acquired 3D point cloud data with terrestrial laser scanner data can be classified on 2D panoramic range image using normal vectors estimated from point cloud. This classification is based on 2D image processing. However, we also confirmed that a result from proposed modeling was equivalent to conventional 3D modeling.

本文言語English
ホスト出版物のタイトル34th Asian Conference on Remote Sensing 2013, ACRS 2013
出版社Asian Association on Remote Sensing
ページ1248-1253
ページ数6
ISBN(印刷版)9781629939100
出版ステータスPublished - 2013 1 1
イベント34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia
継続期間: 2013 10 202013 10 24

出版物シリーズ

名前34th Asian Conference on Remote Sensing 2013, ACRS 2013
2

Conference

Conference34th Asian Conference on Remote Sensing 2013, ACRS 2013
国/地域Indonesia
CityBali
Period13/10/2013/10/24

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信

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